BigQuery
Results in the Tech Stack study
Results come from publishers’ answers and cannot be edited by the vendor. Learn more
What its users say (15)
8/10“Satisfied overall: BigQuery is very powerful and effective for large-scale data analysis. On the other hand, the environment can sometimes be (very) complex (managing errors, costs, regions, etc.), which requires a certain level of expertise to be used with confidence on a daily basis.”
8/10“Integrated into our ecosystem.”
10/10“Serverless and affordable.”
9/10“Very happy with the performance and the ease of use.”
9/10“Well integrated into the Google Cloud suite.”
5/10“The Google Cloud Platform ecosystem, and BigQuery more specifically, involves considerable operational complexity and can generate unpredictable costs. Beyond the financial aspect, this solution raises compliance issues since it does not guarantee European digital sovereignty.”
8/10“It is robust but our costs are rising quickly.”
8/10“Makes interfacing easier.”
8/10“Our Data teams seem satisfied. Our Data Science teams manage to exploit a broad set of data to segment our readers and build predictive models (RFV, engagement matrices, anti-churn model); the challenge for us now is to collect even more data and build personalised 360 activation routes.”
7/10“Meh, frequent micro-bugs that crash our reporting.”
7/10“Does the job but increased dependence on Google.”
9/10“BigQuery is very high-performing and easy to use; for now we see no reason to consider anything else.”
8/10“Effective. Easy connection with Looker and Data Studio.”
8/10“Not enough configuration in the dashboards.”
8/10“Reasonable price, easy to use.”
Anonymised comments from study respondents.